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Prof. Dr. Frederick Klauschen

Prof. Dr. Frederick Klauschen

Research Group Lead / Charité / Fellow

Fellow | BIFOLD

Director | Pathologisches Institut, Ludwig-Maximilian-Universität München

Professor, Senior Consultant Pathologist and Associate Director | Charité Universitätsmedizin Berlin, Institute of Pathology

2012 Novartis Pathology-Oncology Award
2011 Human Frontier Science Program Young Investigator Award
2004 NIH Postdoctoral Fellowship Award

Systems biological integration of proteogenomic profiles and histological images through bioinformatics and machine learning with the goal to better understand and predict pathological mechanisms in tumors and finally, to better diagnose and treat cancer.

  • German Pathological Society
  • International Academy of Pathology
  • German Physical Society

Jörg Kumbrink, Melanie-Christin Demes, Jan Jeroch, Andreas Bräuninger, Kristin Hartung, Uwe Gerstenmaier, Ralf Marienfeld, Axel Hillmer, Nadine Bohn, Christina Lehning, Ferdinand Ferch, Peter Wild, Stefan Gattenlöhner, Peter Möller, Frederick Klauschen, Andreas Jung

Development, testing and validation of a targeted NGS-panel for the detection of actionable mutations in lung cancer (NSCLC) using anchored multiplex PCR technology in a multicentric setting

March 28, 2024

Simon Schallenberg, Gabriel Dernbach, Sharon Ruane, Cornelius Böhm, Lukas Ruff, Kai Standvoss, Sandip Ghosh, Marco Frentsch, Mihnea Dragomir, Rebecca Fritz, Ines Koch, Corinna Friedrich, Il-Kang Na, Sabine Merkelbach-Bruse, Alexander Quaas, Nikolaj Frost, Kyrill Boschung, Winfried Randerath, Georg Schlachtenberger, Matthias Heldwein, Ulrich Keilholz, Khosro Hekmat, Jens Rückert; Reinhard Büttner, Angela Vasaturo, David Horst, Maximilian Alber, Frederick Klauschen

AI-driven, mIF-based cell-omics reveals spatially resolved cell signature for outcome prediction in NSCLC patients

March 22, 2024

Marlies Michl, Francesco Taverna, Christine Woischke, Pan Li, Frederick Klauschen, Thomas Kirchner, Volker Heinemann, Michael von Bergwelt-Baildon, Arndt Stahler, Tobias Marcus Herold, Vindi Jurinovic, Jutta Engel, Jörg Kumbrink & Jens Neumann

Identification of a gene expression signature associated with brain metastasis in colorectal cancer

March 17, 2024

Frederick Klauschen, Jonas Dippel, Philipp Keyl, Philipp Jurmeister, Michael Bockmayr, Andreas Mock, Oliver Buchstab, Maximilian Alber, Lukas Ruff, Grégoire Montavon & Klaus-Robert Müller

Explainable artificial intelligence in pathology

February 05, 2024

Jonas Dippel, Barbara Feulner, Tobias Winterhoff, Simon Schallenberg, Gabriel Dernbach, Andreas Kunft, Stephan Tietz, Philipp Jurmeister, David Horst, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen, Maximilian Alber


January 23, 2024

Machine Learning| Nov 30, 2022

AI facilitates breakthrough in cancer diagnostics

So-called sinonasal undifferentiated carcinomas (SNUCs) are extremely difficult to diagnose. An interdisciplinary team of researchers has developed an AI tool that reliably distinguishes tumors on the basis of chemical DNA modifications 

BIFOLD Update| Aug 06, 2020

An overview of the current state of research in BIFOLD

Since the official announcement of the Berlin Institute for the Foundations of Learning and Data in January 2020, BIFOLD researchers achieved a wide array of advancements in the domains of Machine Learning and Big Data Management as well as in a variety of application areas by developing new Systems and creating impactfull publications. The following summary provides an overview of recent research activities and successes.